Lv Jinlai
College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, People�s Republic of China
Zhang Hui
College of Computer Science and Technology, Taiyuan University of Technology, Taiyuan, 030024, People�s Republic of China
Fan Wenlei
Center of Computer Technology, Taiyuan Audit Bureau, Taiyuan, 030024, People�s Republic of China
Du Xiaoping
Shanxi Province Economic Information Center, Taiyuan, 030024, People�s Republic of China
ABSTRACT
Interval information systems are generalized models of single-valued information systems which is an important formal framework for the development of data mining. In this study, in terms of introducing dominance relations, a rough set approach in interval ordered information systems is first established. Then, the concept of dominance entropy and dominance combination entropy in interval ordered information systems is come up with. Finally, through calculating of dominance entropy and dominance combination entropy in interval information systems based on dominance relations, it is proved that in the wake of enhancement of knowledge discernment, dominance entropy and dominance combination entropy increases monotonously. These results give a kind of feasible approaches to discover and acquisition of knowledge in interval ordered information systems.
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How to cite this article
Lv Jinlai, Zhang Hui, Fan Wenlei and Du Xiaoping, 2013. Uncertainty Measures in Interval Ordered Information Systems. Journal of Applied Sciences, 13: 3522-3527.
DOI: 10.3923/jas.2013.3522.3527
URL: https://scialert.net/abstract/?doi=jas.2013.3522.3527
DOI: 10.3923/jas.2013.3522.3527
URL: https://scialert.net/abstract/?doi=jas.2013.3522.3527
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